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Update app.py
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app.py
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@@ -8,6 +8,8 @@ import requests
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import json
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from typing import Dict, List, Tuple, Optional
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import warnings
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warnings.filterwarnings('ignore')
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class OceanCurrentMapper:
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@@ -226,42 +228,68 @@ class OceanCurrentMapper:
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conditions = []
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if avg_speed < 0.3:
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conditions.append("
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elif avg_speed < 0.8:
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conditions.append("
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else:
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conditions.append("
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if max_speed > 1.0:
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conditions.append("
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# Add mock weather conditions
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conditions.extend([
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f"
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f"
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f"
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])
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return "\n".join(conditions)
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# Initialize the mapper
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# Create
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def create_current_map(region, resolution, show_vectors, show_speed, vector_scale):
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def create_forecast(region, forecast_hours):
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def analyze_conditions(region):
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# Define the Gradio interface
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with gr.Blocks(title="Ocean Current Mapper", theme=gr.themes.Ocean()) as demo:
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gr.Markdown("""
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<h1 style="font-size:
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</h1>
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<div style="text-align: center; font-size: 1.2em; margin-bottom: 2em;">
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@@ -388,11 +416,18 @@ with gr.Blocks(title="Ocean Current Mapper", theme=gr.themes.Ocean()) as demo:
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**Note**: This demo uses synthetic data for demonstration. In production, it would connect to live oceanographic APIs.
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""")
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# Launch the app
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if __name__ == "__main__":
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import json
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from typing import Dict, List, Tuple, Optional
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import warnings
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import time
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import traceback
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warnings.filterwarnings('ignore')
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class OceanCurrentMapper:
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conditions = []
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if avg_speed < 0.3:
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conditions.append("Low current speeds - good for beginners")
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elif avg_speed < 0.8:
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conditions.append("Moderate currents - suitable for intermediate surfers")
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else:
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conditions.append("Strong currents - experienced surfers only")
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if max_speed > 1.0:
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conditions.append("Strong rip currents detected in some areas")
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# Add mock weather conditions
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conditions.extend([
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f"Water temperature: {20 + np.random.randint(0, 10)}Β°C",
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f"Wind: {5 + np.random.randint(0, 15)} mph offshore",
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f"Wave height: {1 + np.random.randint(0, 3)} meters"
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])
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return "\n".join(conditions)
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# Initialize the mapper with error handling
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try:
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mapper = OceanCurrentMapper()
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print("Ocean Current Mapper initialized successfully")
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except Exception as e:
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print(f"Error initializing mapper: {e}")
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traceback.print_exc()
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# Create wrapper functions with error handling
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def create_current_map(region, resolution, show_vectors, show_speed, vector_scale):
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try:
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return mapper.create_current_map(region, resolution, show_vectors, show_speed, vector_scale)
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except Exception as e:
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print(f"Error creating current map: {e}")
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traceback.print_exc()
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# Return empty plot on error
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fig = go.Figure()
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fig.add_annotation(text=f"Error: {str(e)}", x=0.5, y=0.5, showarrow=False)
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return fig
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def create_forecast(region, forecast_hours):
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try:
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return mapper.get_forecast_data(region, forecast_hours)
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except Exception as e:
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print(f"Error creating forecast: {e}")
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traceback.print_exc()
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# Return empty plot on error
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fig = go.Figure()
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fig.add_annotation(text=f"Error: {str(e)}", x=0.5, y=0.5, showarrow=False)
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return fig
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def analyze_conditions(region):
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try:
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return mapper.analyze_surfing_conditions(region)
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except Exception as e:
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print(f"Error analyzing conditions: {e}")
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traceback.print_exc()
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return f"Error analyzing conditions: {str(e)}"
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# Define the Gradio interface
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with gr.Blocks(title="Ocean Current Mapper", theme=gr.themes.Ocean()) as demo:
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gr.Markdown("""
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<h1 style="font-size: 4em; text-align: center; color: #1e3a8a; text-shadow: 2px 2px 4px rgba(0,0,0,0.3); font-family: 'Arial Black', sans-serif;">
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Real-Time Ocean Current Mapping Tool
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</h1>
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<div style="text-align: center; font-size: 1.2em; margin-bottom: 2em;">
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**Note**: This demo uses synthetic data for demonstration. In production, it would connect to live oceanographic APIs.
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""")
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# Launch the app with better error handling
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if __name__ == "__main__":
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try:
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print("Starting Ocean Current Mapper...")
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demo.launch(
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share=True,
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height=600,
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show_error=True,
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inbrowser=False,
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server_name="0.0.0.0",
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server_port=7860
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)
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except Exception as e:
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print(f"Error launching app: {e}")
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traceback.print_exc()
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